# split-column

## Description

<mark style="color:purple;">`split-column`</mark> *adaptor splits values in a column into a number of columns using a specified separator to determine where to make each split.*

## Inputs

**`data`**\
Type: `datatable`\
Required: Yes\
The datatable containing the column to be split.

**`column name`**\
Type: `text`\
Required: Yes\
The name of the column to be split.

**`separator`**\
Type: `text`\
Required: Yes\
The separator text, or regular expression, which denotes the points at which each split should occur. The separator is treated a regular expression if it begins and ends with `/`.

**`new column names`**\
Type: `list`\
Required: Yes\
The list of columns to be added.

**`include column`**\
Type: `boolean`\
Required: No\
Specifies whether to include the original column in the output datatable. If unspecified, defaults to `True` (original column will be included).

## Outputs

**`data`**\
Type: `datatable`\
A datatable with new columns added.

## Examples

### Example 1: Default behaviour.

#### Inputs:

`data:`

| id | code  | name           |
| -- | ----- | -------------- |
| 1  | en-GB | United Kingdom |
| 2  | tr-TR | Turkey         |
| 3  | en-US | United States  |
| 4  | hi-IN | India          |

`column name:` code

`separator:` -

`new column names:` language

`include column:` *null(empty)*

#### Outputs:

`data`:

| id | code  | name           | language |
| -- | ----- | -------------- | -------- |
| 1  | en-GB | United Kingdom | en       |
| 2  | tr-TR | Turkey         | tr       |
| 3  | en-US | United States  | en       |
| 4  | hi-IN | India          | hi       |

-> Created a new column `language` with the values derived by splitting the values in `code` column on `-` separator. The original code column is included in the output by default.

### Example 2: Exclude the original column in the output.

#### Inputs:

`data:`

| id | code  | name           |
| -- | ----- | -------------- |
| 1  | en-GB | United Kingdom |
| 2  | tr-TR | Turkey         |
| 3  | en-US | United States  |
| 4  | hi-IN | India          |

`column name:` code

`separator:` -

`new column names:` language

`include column:` False

#### Outputs:

`data`:

| id | name           | language |
| -- | -------------- | -------- |
| 1  | United Kingdom | en       |
| 2  | Turkey         | tr       |
| 3  | United States  | en       |
| 4  | India          | hi       |

-> Created a new column `language` with the values derived by splitting the values in `code` column on `-` separator. The code column is included in the result by default.

## Use Cases

* Separate a date into components of year, month, and day.


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